In Japan's envisioned Society 5.0, cyber-physical systems (CPS), which are highly integrated cyber and physical spaces, play a crucial role as foundational technologies for society. With advancements in AI, digital twins, IoT, autonomous mobile robots, and cloud/edge computing, CPS are rapidly expanding into a wide range of societal sectors, including smart mobility, healthcare, logistics, energy management, and disaster response.

In this laboratory, Estimation, Prediction, Control We conduct research on networked control systems, robotics, mechatronics, machine learning, reinforcement learning, data-driven control, and AI-applied control, using "control engineering" as a keyword. In particular, we focus on control system design considering communication constraints and uncertainties, state estimation and anomaly detection based on data, intelligent robots and drones, and learning-based control considering real-world environments. We also emphasize not only simulations but also experimental validation with actual hardware, aiming to realize intelligent systems that bridge theory and the real world.